Wind Power Integration into Power Systems: Stability and Control Aspects

2021 ◽  
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Stability And Control ◽  
Wind Power Integration ◽  
And Control

scholarly journals Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Low Carbon ◽  
Carbon Neutrality ◽  
Stability And Control ◽  
Wind Power Integration ◽  
And Control

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]

scholarly journals Wind power integration into the automatic generation control of power systems with large-scale wind power

2014 ◽  
Vol 2014 (10) ◽  
pp. 538-545 ◽  
Author(s):  
Abdul Basit ◽  
Anca Daniela Hansen ◽  
Mufit Altin ◽  
Poul Sørensen ◽  
Mette Gamst
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Large Scale ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Wind Power Integration ◽  
Generation Control

Revision of reserve requirements following wind power integration in island power systems

2013 ◽  
Vol 50 ◽  
pp. 268-279 ◽  
Author(s):  
Kristof De Vos ◽  
Andreas G. Petoussis ◽  
Johan Driesen ◽  
Ronnie Belmans
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Reserve Requirements ◽  
Wind Power Integration

Optimization Design of Wind/Photovoltaic Hybrid Power Systems Based on Genetic Algorithms

2013 ◽  
Vol 278-280 ◽  
pp. 1692-1695
Author(s):  
Lu Li ◽  
Zhong Fu Tan
Keyword(s):  
Genetic Algorithm ◽  
Linear System ◽  
Power Systems ◽  
Wind Power ◽  
Hybrid System ◽  
Alternative Energy ◽  
Optimization Design ◽  
Non Linear ◽  
Non Linear System ◽  
And Control

Wind power and solar energy power are clean, abundant and renewable. Wind power and photovoltaic power are important alternative energy in the world, which will contribute to adjusting energy structures and protecting environments. The genetic algorithm has the characteristics of automatic optimization and approaches the simulate stuff illimitably. Also, there has no use for accurate model on questions, which is very suitable in the non-linear system. The wind/photovoltaic hybrid systems consist with wind power generation units, photovoltaic matrix, storage battery, diesel engine and data collection and control. This paper optimized the wind/photovoltaic hybrid system using genetic algorithm. The result showed the efficiency of this algorithm in the design of this kind of non-linear system. On the other hand, this hybrid system is strongly non-linear when is running. Finally, abundant operating expenses and maintains expenses will be saved by using genetic algorithm in its dynamic management according to the change of load, wind power and irradiation.

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